Individual skill
fabric-notebook-perf-remediate
Diagnose and resolve performance issues in Microsoft Fabric notebooks running Apache Spark. Use when notebooks are slow, Spark jobs are timing out, sessions hit HTTP 430 throttling errors, data skew causes straggling tasks, shuffle operations are inefficient, Delta Lake tables need optimization, V-Order configuration is needed, capacity utilization is high, OOM errors occur, or Spark Advisor warnings appear. Covers Spark session tuning, Native Execution Engine, autotune, custom Spark pools, partition optimization, and Monitoring Hub diagnostics.
skills/fabric-notebook-perf-remediate/SKILL.md
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- Local scripts
- Last checked
- Nov 11, 2026
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- Repository last updated
- Jun 7, 2026
- License
- MIT
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- claude Repository topic
- claude-skills Repository topic
- copilot Repository topic
- copilot-skills Repository topic
- fabric Repository topic
- microsoft-fabric Repository topic
- operations Derived category
- data Derived category
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LICENSE.txtdoc · 11,358 bytesSKILL.mdcore · 9,257 bytesSKILL.mdcore · 9,257 bytesSKILL.mdcore · 9,257 bytesSKILL.mdcore · 9,257 bytesSKILL.mdcore · 9,257 bytesSKILL.mdcore · 9,257 bytesSKILL.mdcore · 9,257 bytesSKILL.mdcore · 9,257 bytesreferences/common-errors.mddoc · 5,715 bytesreferences/data-skew-diagnosis.mddoc · 5,842 bytesreferences/delta-table-optimization.mddoc · 5,810 bytesreferences/spark-session-tuning.mddoc · 6,221 bytesscripts/notebook-health-check.pyruns · 6,928 bytestemplates/spark-config-template.pyruns · 3,559 bytes
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# Microsoft Fabric Notebook Performance remediate
Systematic toolkit for diagnosing, analyzing, and resolving performance bottlenecks in Microsoft Fabric notebooks powered by Apache Spark.
## When to Use This Skill
- Fabric notebook cells are running slowly or timing out
- Spark jobs are being throttled with HTTP 430 errors
- Capacity Metrics app shows high CU consumption
- Data skew is causing unbalanced task execution
- Shuffle operations are consuming excessive resources
- Delta Lake tables have degraded read/write performance
- OOM (Out of Memory) errors during notebook execution
- Spark Advisor shows warnings or errors in cell output